Case Study: Enveda Biosciences achieves 230% increase in speed to discovery with Benchling

Building a Backbone for Machine Learning Increases Speed of Discovery by 230%

Enveda Biosciences uses a computational metabolomics platform to discover and optimize novel chemicals from plant chemistry, but rapid growth created a bottleneck: experimental data was siloed, inconsistently captured, and not structured for machine learning. The company needed a central, scalable system to standardize bench data, enable automated data flows into ML pipelines, and support future needs like configurable workflows and barcoding.

Enveda selected Benchling for its intuitive UX, templated data entry, and customizable data model that links metabolomics assays directly to samples and pipelines. The platform reached 100% adoption in two months, doubled experiment speed, and delivered measurable gains—66% of scientists reported a more cohesive view of progress, data integrity rose 130%, and speed to discovery increased by 230%—while providing a scalable foundation for continued growth.

Enveda Biosciences

Viswa Colluru

Chief Executive Officer